current session info
─ Session info ───────────────────────────────────────────────────────────────
setting value
version R version 3.6.1 (2019-07-05)
os macOS High Sierra 10.13.6
system x86_64, darwin15.6.0
ui X11
language (EN)
collate en_US.UTF-8
ctype en_US.UTF-8
tz America/Los_Angeles
date 2020-02-20
─ Packages ───────────────────────────────────────────────────────────────────
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[1] /Library/Frameworks/R.framework/Versions/3.6/Resources/library
The aim of this study is to obtain the Reliability estimates of the OCTA measurements.
Reliability incorporates:
Repeatability - How reliable are repeated measures on the same day (Intra-Visit)
Reproducibility - How reliable are repeated measures over multiple visits (Inter-Visit)
This data was taken from a clean dataset that Jae emailed out on January 16th, 2020.
Jae organized the retina by six different methods. He created OCTA variable scores for the overall image, 2 hemifields, 4 quadrants, 6 sectors, 12 clock hours, and an annular ring.
Annular image scoring was also assessed, and ICC’s were similar, but slightly lower than global. Results for annular image scoring are not shown. For now, only the overall “global” image scoring will be shown.
Zeiss commercial vessel area density and flux variables are also shown for the global image scoring.
Note to Dom: The analysis was originally built with the global data. Towards the end of our work, we decided annulus would be a better data to use. I had already built the analysis using global data, so I just “trojan horsed” the annulus excel data into the global analysis that already exists. This is a bit of a hack, but saves an immense amount of time.
This section will rename the variables to match the dictionary
This section will label variables appropriately.
| Variable | Label |
|---|---|
| ptid | Patient Identification |
| Sociodemographic Variables | |
| age | Age |
| female | Sex |
| Systemic Clinical Variables | |
| htn_dx | Hypertension Diagnosis |
| dm_dx | Diabetes Mellitus Diagnosis |
| nro_dx | Optic Neuropathy |
| Ophthalmic Clinical Variables | |
| dr_dx | Diabetic Retinopathy Diagnosis, Ordinal |
| dr_dx_bin | Diabetic Retinopathy Diagnosis, Binary |
| glc_sus_dx | Glaucoma Suspect Diagnosis |
| glc_dx | Glaucoma Diagnosis, Ordinal |
| glc_dx_bin | Glaucoma Diagnosis, Binary |
| glc_dx_bin_people | Glaucoma Diagnosis Laterality, Ordinal |
| OCT Angiography Variables | |
| surg_proc_glaucoma | Surgical Procedure for Glaucoma |
| surg_proc_catextract | Surgical Procedure for Cataract Extraction |
| eyeid | Eye Identification |
| eye_imaged | Eye Imaged |
| time_stamp | Exam Date and Time |
| name_last | Last Name |
| name_first | First Name |
| image_area | Image Area |
| image_method | Image Method |
| image_size | Image Size |
| signal_strength | Signal Strength |
| v_diameter | Vessel Diameter (units?) |
| v_area_density | Vessel Area Density |
| v_skeleton_density | Vessel Skeleton Density (units?) |
| v_perimeter_index | Vessel Perimeter Index (units?) |
| v_complexity_index | Vessel Complexity Index (units?) |
| flow_impair_zone | Flow Impairment Zone (units?) |
| flux | Flux |
| zeiss_v_area_density | Vessel Area Density, Zeiss |
| zeiss_flux | Flux, Zeiss |
Venugopal (2019) et al. ran the analysis including all eyes.1 Then they re-ran the analysis after selecting only a single eye randomly from each individual. They conclude minimal difference in the findings, and they report only the analysis that includes all eyes:
“The entire analysis was repeated considering one eye per subject (one eye was randomly chosen from subjects contributing both eyes for the primary analysis) and all the results were similar to the primary analysis.”1
The following results are for a single eye—chosen at random—from each participant.
Later, towards the bottom of the analysis, the reliability statistics have been repeated for both eyes using linear mixed effects models.
Intra-visit data was restricted to all measurements of the same eye that occurred on the same day. Some people had multiple measurements on multiple days. Their first day was included only.
Inter-visit data was restricted to the first measurement of the day for each eye. If a patient had their right eye measured:
3 times on Monday
5 times on Wednesday, and
2 times on Friday,
Then they would have three observations in this dataset:
The first measurement from Monday,
The first measurement from Wednesday, and
The first measurement from Friday.
This tallies how many participants, how many eyes, and how many measurements are included in the two data sets.
For repeatability statistics, normal and glaucoma groups may sum to greater than the total number of participants in the study because some participants have both eyes normal or both eyes with glaucoma, but some patients have unilateral glaucoma.
| dataset | n_participants | n_eyes | n_measurements |
|---|---|---|---|
| Annular Data - Intra-Visit - Both Eyes | |||
| Intra-Visit | 149 | 244 | 644 |
| Intra-Visit, Normal | 73 | 118 | 321 |
| Intra-Visit, Glaucoma | 86 | 126 | 323 |
| Annular Data - Inter-Visit - Both Eyes | |||
| Inter-Visit | 148 | 243 | 628 |
| Inter-Visit, Normal | 72 | 117 | 256 |
| Inter-Visit, Glaucoma | 86 | 126 | 372 |
| Annular Data - Inter-Visit - Both Eyes - Restrict 1 Year | |||
| Inter-Visit, 1 Year | 103 | 165 | 401 |
| Inter-Visit, 1 Year, Normal | 44 | 69 | 143 |
| Inter-Visit, 1 Year, Glaucoma | 67 | 96 | 258 |
| Annular Data - Inter-Visit - Both Eyes - Restrict 6 Months | |||
| Inter-Visit, 6 Months | 67 | 107 | 254 |
| Inter-Visit, 6 Months, Normal | 23 | 32 | 68 |
| Inter-Visit, 6 Months, Glaucoma | 52 | 75 | 186 |
| dataset | n_participants | n_eyes | n_measurements |
|---|---|---|---|
| Annular Data - Intra-Visit - One Eye, Random | |||
| Intra-Visit | 149 | 149 | 382 |
| Intra-Visit, Normal | 68 | 68 | 180 |
| Intra-Visit, Glaucoma | 81 | 81 | 202 |
| Annular Data - Inter-Visit - One Eye, Random | |||
| Inter-Visit | 148 | 148 | 376 |
| Inter-Visit, Normal | 67 | 67 | 151 |
| Inter-Visit, Glaucoma | 81 | 81 | 225 |
| Annular Data - Inter-Visit - One Eye, Random - Restrict 1 Year | |||
| Inter-Visit, 1 Year | 102 | 102 | 246 |
| Inter-Visit, 1 Year, Normal | 40 | 40 | 85 |
| Inter-Visit, 1 Year, Glaucoma | 62 | 62 | 161 |
| Annular Data - Inter-Visit - One Eye, Random - Restrict 6 Months | |||
| Inter-Visit, 6 Months | 67 | 67 | 157 |
| Inter-Visit, 6 Months, Normal | 19 | 19 | 42 |
| Inter-Visit, 6 Months, Glaucoma | 48 | 48 | 115 |
All table 1 data is shown, but publish only the Table 1 for the Intra-Visit.
For repeatability statistics, normal and glaucoma groups may sum to greater than the total number of participants in the study because some participants have both eyes normal or both eyes with glaucoma, but some patients have unilateral glaucoma.
Variables in intra-visit dataset
| Overall | |
|---|---|
| n | 149 |
| Sociodemographic Variables | |
| age (mean (SD)) | 56.97 (16.10) |
| Sex = Male (%) | 72 (48.3) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 43 (28.9) |
| Diabetes Mellitus Diagnosis = Yes (%) | 17 (11.4) |
| Optic Neuropathy = Yes (%) | 1 ( 0.7) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 76 (51.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 60 (40.3) |
| Glaucoma, Bilateral | 71 (47.7) |
| Glaucoma, Unilateral | 18 (12.1) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 2.7) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 28 (18.8) |
| Surgical Procedure for Glaucoma (%) | |
| None | 103 (69.1) |
| Laser | 24 (16.1) |
| Minimally Invasive Glaucoma Surgery | 2 ( 1.3) |
| Filter | 20 (13.4) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.28 (0.68) |
| Overall | |
|---|---|
| n | 73 |
| Sociodemographic Variables | |
| age (mean (SD)) | 51.68 (16.15) |
| Sex = Male (%) | 35 (47.9) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 16 (21.9) |
| Diabetes Mellitus Diagnosis = Yes (%) | 3 ( 4.1) |
| Optic Neuropathy = Yes (%) | 1 ( 1.4) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 0 ( 0.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 60 (82.2) |
| Glaucoma, Bilateral | 0 ( 0.0) |
| Glaucoma, Unilateral | 13 (17.8) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 0 ( 0.0) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 9 (12.3) |
| Surgical Procedure for Glaucoma (%) | |
| None | 67 (91.8) |
| Laser | 6 ( 8.2) |
| Minimally Invasive Glaucoma Surgery | 0 ( 0.0) |
| Filter | 0 ( 0.0) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.43 (0.60) |
| Overall | |
|---|---|
| n | 86 |
| Sociodemographic Variables | |
| age (mean (SD)) | 61.82 (13.84) |
| Sex = Male (%) | 42 ( 48.8) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 29 ( 33.7) |
| Diabetes Mellitus Diagnosis = Yes (%) | 14 ( 16.3) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 86 (100.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 0 ( 0.0) |
| Glaucoma, Bilateral | 71 ( 82.6) |
| Glaucoma, Unilateral | 15 ( 17.4) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 4.7) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 22 ( 25.6) |
| Surgical Procedure for Glaucoma (%) | |
| None | 46 ( 53.5) |
| Laser | 18 ( 20.9) |
| Minimally Invasive Glaucoma Surgery | 2 ( 2.3) |
| Filter | 20 ( 23.3) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.12 (0.75) |
Variables in inter-visit dataset
| Overall | |
|---|---|
| n | 148 |
| Sociodemographic Variables | |
| age (mean (SD)) | 57.19 (15.92) |
| Sex = Male (%) | 71 (48.0) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 43 (29.1) |
| Diabetes Mellitus Diagnosis = Yes (%) | 17 (11.5) |
| Optic Neuropathy = Yes (%) | 1 ( 0.7) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 76 (51.4) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 59 (39.9) |
| Glaucoma, Bilateral | 71 (48.0) |
| Glaucoma, Unilateral | 18 (12.2) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 2.7) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 28 (18.9) |
| Surgical Procedure for Glaucoma (%) | |
| None | 102 (68.9) |
| Laser | 24 (16.2) |
| Minimally Invasive Glaucoma Surgery | 2 ( 1.4) |
| Filter | 20 (13.5) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.26 (0.65) |
| Overall | |
|---|---|
| n | 72 |
| Sociodemographic Variables | |
| age (mean (SD)) | 52.07 (15.92) |
| Sex = Male (%) | 34 (47.2) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 16 (22.2) |
| Diabetes Mellitus Diagnosis = Yes (%) | 3 ( 4.2) |
| Optic Neuropathy = Yes (%) | 1 ( 1.4) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 0 ( 0.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 59 (81.9) |
| Glaucoma, Bilateral | 0 ( 0.0) |
| Glaucoma, Unilateral | 13 (18.1) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 0 ( 0.0) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 9 (12.5) |
| Surgical Procedure for Glaucoma (%) | |
| None | 66 (91.7) |
| Laser | 6 ( 8.3) |
| Minimally Invasive Glaucoma Surgery | 0 ( 0.0) |
| Filter | 0 ( 0.0) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.45 (0.60) |
| Overall | |
|---|---|
| n | 86 |
| Sociodemographic Variables | |
| age (mean (SD)) | 61.82 (13.84) |
| Sex = Male (%) | 42 ( 48.8) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 29 ( 33.7) |
| Diabetes Mellitus Diagnosis = Yes (%) | 14 ( 16.3) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 86 (100.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 0 ( 0.0) |
| Glaucoma, Bilateral | 71 ( 82.6) |
| Glaucoma, Unilateral | 15 ( 17.4) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 4.7) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 22 ( 25.6) |
| Surgical Procedure for Glaucoma (%) | |
| None | 46 ( 53.5) |
| Laser | 18 ( 20.9) |
| Minimally Invasive Glaucoma Surgery | 2 ( 2.3) |
| Filter | 20 ( 23.3) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.08 (0.67) |
These are the participants we will be using for inter-visit glaucoma
| Overall | |
|---|---|
| n | 103 |
| Sociodemographic Variables | |
| age (mean (SD)) | 56.93 (15.64) |
| Sex = Male (%) | 52 (50.5) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 29 (28.2) |
| Diabetes Mellitus Diagnosis = Yes (%) | 14 (13.6) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 59 (57.3) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 33 (32.0) |
| Glaucoma, Bilateral | 54 (52.4) |
| Glaucoma, Unilateral | 16 (15.5) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 3.9) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 19 (18.4) |
| Surgical Procedure for Glaucoma (%) | |
| None | 70 (68.0) |
| Laser | 14 (13.6) |
| Minimally Invasive Glaucoma Surgery | 1 ( 1.0) |
| Filter | 18 (17.5) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.20 (0.64) |
| Overall | |
|---|---|
| n | 44 |
| Sociodemographic Variables | |
| age (mean (SD)) | 51.17 (14.47) |
| Sex = Male (%) | 20 (45.5) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 7 (15.9) |
| Diabetes Mellitus Diagnosis = Yes (%) | 1 ( 2.3) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 0 ( 0.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 33 (75.0) |
| Glaucoma, Bilateral | 0 ( 0.0) |
| Glaucoma, Unilateral | 11 (25.0) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 0 ( 0.0) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 5 (11.4) |
| Surgical Procedure for Glaucoma (%) | |
| None | 42 (95.5) |
| Laser | 2 ( 4.5) |
| Minimally Invasive Glaucoma Surgery | 0 ( 0.0) |
| Filter | 0 ( 0.0) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.45 (0.58) |
| Overall | |
|---|---|
| n | 67 |
| Sociodemographic Variables | |
| age (mean (SD)) | 61.16 (14.45) |
| Sex = Male (%) | 35 ( 52.2) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 23 ( 34.3) |
| Diabetes Mellitus Diagnosis = Yes (%) | 13 ( 19.4) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 67 (100.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 0 ( 0.0) |
| Glaucoma, Bilateral | 54 ( 80.6) |
| Glaucoma, Unilateral | 13 ( 19.4) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 6.0) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 16 ( 23.9) |
| Surgical Procedure for Glaucoma (%) | |
| None | 36 ( 53.7) |
| Laser | 12 ( 17.9) |
| Minimally Invasive Glaucoma Surgery | 1 ( 1.5) |
| Filter | 18 ( 26.9) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.02 (0.64) |
These are the participants we will be using for inter-visit normal
| Overall | |
|---|---|
| n | 67 |
| Sociodemographic Variables | |
| age (mean (SD)) | 57.60 (15.78) |
| Sex = Male (%) | 35 (52.2) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 17 (25.4) |
| Diabetes Mellitus Diagnosis = Yes (%) | 9 (13.4) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 44 (65.7) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 13 (19.4) |
| Glaucoma, Bilateral | 43 (64.2) |
| Glaucoma, Unilateral | 11 (16.4) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 3 ( 4.5) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 13 (19.4) |
| Surgical Procedure for Glaucoma (%) | |
| None | 41 (61.2) |
| Laser | 9 (13.4) |
| Minimally Invasive Glaucoma Surgery | 1 ( 1.5) |
| Filter | 16 (23.9) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.10 (0.65) |
| Overall | |
|---|---|
| n | 52 |
| Sociodemographic Variables | |
| age (mean (SD)) | 60.51 (14.74) |
| Sex = Male (%) | 27 ( 51.9) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 16 ( 30.8) |
| Diabetes Mellitus Diagnosis = Yes (%) | 9 ( 17.3) |
| Optic Neuropathy = Yes (%) | 0 ( 0.0) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 52 (100.0) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 0 ( 0.0) |
| Glaucoma, Bilateral | 43 ( 82.7) |
| Glaucoma, Unilateral | 9 ( 17.3) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 3 ( 5.8) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 13 ( 25.0) |
| Surgical Procedure for Glaucoma (%) | |
| None | 27 ( 51.9) |
| Laser | 8 ( 15.4) |
| Minimally Invasive Glaucoma Surgery | 1 ( 1.9) |
| Filter | 16 ( 30.8) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 8.98 (0.64) |
Scatter plots of OCTA variables by Subject ID for about 10 individuals randomly sampled. These are separated by intra- and inter-visit data sets, and are useful for understanding the data better.
Spaghetti plots of OCTA variables for about 10 individuals randomly sampled.
Coding of Bland-Altman (BA) plots is explained in this blog post.
Intra-Visit Bland-Altman Plots of OCTA Variables
Assess some of the observations outside of expected limits.
| eyeid | ptid | signal_strength | female | eye_imaged | image_area | image_size | image_method | exam_date | time_stamp | v_diameter | v_area_density | v_skeleton_density | v_perimeter_index | v_complexity_index | flow_impair_zone | flux | zeiss_v_area_density | zeiss_flux | age | htn_dx | dm_dx | nro_dx | dr_dx | glc_sus_dx | glc_dx | surg_proc_glaucoma | surg_proc_catextract | glc_dx_bin | dr_dx_bin | glc_dx_bin_people | n_msr_day | order_obs |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11 | 1226815 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-10-25 | 2019-10-25 12:41:03 | 30.29640 | 0.1370255 | 0.04522833 | 0.1273263 | 2149.126 | 19.5292 | 0.04483744 | 0.357 | 0.255 | 74.0 | No | No | No | None | None | Severe | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 2 | 1 |
| 11 | 1226815 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-10-25 | 2019-10-25 12:42:40 | 28.69309 | 0.1573387 | 0.05483507 | 0.1448204 | 2425.982 | 17.3898 | 0.05181468 | 0.358 | 0.262 | 74.0 | No | No | No | None | None | Severe | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 2 | 2 |
| 18 | 1380225 | 10 | Female | Left | ONH | 6x6 | Angiography | 2019-03-20 | 2019-03-20 11:25:51 | 25.34368 | 0.2927191 | 0.11549981 | 0.2730479 | 4419.194 | 5.8646 | 0.09498110 | 0.391 | 0.312 | 59.5 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 1 |
| 18 | 1380225 | 10 | Female | Left | ONH | 6x6 | Angiography | 2019-03-20 | 2019-03-20 11:26:24 | 25.93677 | 0.2808006 | 0.10826349 | 0.2626908 | 4354.005 | 6.0290 | 0.09104601 | 0.387 | 0.308 | 59.5 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 2 |
| 18 | 1380225 | 10 | Female | Left | ONH | 6x6 | Angiography | 2019-03-20 | 2019-03-20 11:26:54 | 25.57051 | 0.2913801 | 0.11395163 | 0.2715677 | 4492.345 | 6.0963 | 0.09378992 | 0.391 | 0.314 | 59.5 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 3 |
| 21 | 138721 | 8 | Female | Right | ONH | 6x6 | Angiography | 2018-03-23 | 2018-03-23 12:35:54 | 24.11877 | 0.3366931 | 0.13959797 | 0.3099195 | 4770.301 | 6.6043 | 0.12174832 | 0.415 | 0.354 | 71.0 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 3 | 1 |
| 21 | 138721 | 9 | Female | Right | ONH | 6x6 | Angiography | 2018-03-23 | 2018-03-23 12:36:56 | 24.79561 | 0.3413820 | 0.13767841 | 0.3139906 | 5034.907 | 6.1268 | 0.12247720 | 0.407 | 0.358 | 71.0 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 3 | 2 |
| 21 | 138721 | 7 | Female | Right | ONH | 6x6 | Angiography | 2018-03-23 | 2018-03-23 12:44:53 | 24.65734 | 0.3008142 | 0.12199783 | 0.2776850 | 4386.743 | 7.7867 | 0.10278178 | 0.398 | 0.331 | 71.0 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 3 | 3 |
| 39 | 1722883 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-08-09 | 2019-08-09 10:34:25 | 25.54585 | 0.3697135 | 0.14472546 | 0.3375627 | 5470.442 | 4.0666 | 0.13764308 | 0.403 | 0.371 | 62.8 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 1 |
| 39 | 1722883 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-08-09 | 2019-08-09 10:35:07 | 25.24136 | 0.3861241 | 0.15297278 | 0.3529328 | 5781.427 | 3.6101 | 0.13843919 | 0.408 | 0.375 | 62.8 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 2 |
| 39 | 1722883 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-08-09 | 2019-08-09 10:35:44 | 24.32060 | 0.4155198 | 0.17085094 | 0.3791646 | 6189.701 | 2.6544 | 0.15392797 | 0.427 | 0.389 | 62.8 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 3 | 3 |
| 40 | 1755703 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-01-23 | 2019-01-23 08:58:07 | 25.44699 | 0.3225155 | 0.12674015 | 0.2954372 | 4904.017 | 7.0431 | 0.11022962 | 0.423 | 0.343 | 60.0 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 2 | 1 |
| 40 | 1755703 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-01-23 | 2019-01-23 08:58:33 | 25.48799 | 0.2949723 | 0.11572993 | 0.2713770 | 4545.290 | 9.9067 | 0.10021295 | 0.422 | 0.329 | 60.0 | No | No | No | None | Severe | None | None | No | Normal | No | Normal, Bilateral | 2 | 2 |
| 58 | 2083485 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-06-05 | 2019-06-05 11:04:06 | 26.75168 | 0.2667196 | 0.09970197 | 0.2453661 | 3983.900 | 10.8190 | 0.09260453 | 0.381 | 0.323 | 68.0 | Yes | No | No | None | Moderate | None | None | Yes | Normal | No | Normal, Bilateral | 3 | 1 |
| 58 | 2083485 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-06-05 | 2019-06-05 11:04:42 | 26.42129 | 0.2593079 | 0.09814356 | 0.2388267 | 3917.684 | 10.5598 | 0.09140341 | 0.387 | 0.319 | 68.0 | Yes | No | No | None | Moderate | None | None | Yes | Normal | No | Normal, Bilateral | 3 | 2 |
| 58 | 2083485 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-06-05 | 2019-06-05 11:05:32 | 27.14406 | 0.2323210 | 0.08558813 | 0.2144602 | 3489.403 | 11.8333 | 0.08029139 | 0.368 | 0.310 | 68.0 | Yes | No | No | None | Moderate | None | None | Yes | Normal | No | Normal, Bilateral | 3 | 3 |
| 92 | 51313 | 10 | Female | Right | ONH | 6x6 | Angiography | 2019-10-04 | 2019-10-04 13:46:37 | 25.37820 | 0.2431212 | 0.09579924 | 0.2268217 | 3792.671 | 9.7405 | 0.07838918 | 0.377 | 0.296 | 65.4 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 2 | 1 |
| 92 | 51313 | 9 | Female | Right | ONH | 6x6 | Angiography | 2019-10-04 | 2019-10-04 13:49:13 | 25.35997 | 0.2507987 | 0.09889549 | 0.2331802 | 3850.294 | 9.1813 | 0.08112071 | 0.387 | 0.297 | 65.4 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 2 | 2 |
| 95 | 56867 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-09-06 | 2019-09-06 13:47:30 | 24.95075 | 0.3282209 | 0.13154753 | 0.3035419 | 5033.684 | 7.0176 | 0.11306028 | 0.413 | 0.339 | 83.0 | Yes | No | No | None | Moderate | None | Laser | Yes | Normal | No | Normal, Bilateral | 3 | 1 |
| 95 | 56867 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-09-06 | 2019-09-06 13:47:51 | 25.19313 | 0.3170639 | 0.12585328 | 0.2917371 | 4815.958 | 7.0559 | 0.11002868 | 0.412 | 0.338 | 83.0 | Yes | No | No | None | Moderate | None | Laser | Yes | Normal | No | Normal, Bilateral | 3 | 2 |
| 95 | 56867 | 10 | Male | Right | ONH | 6x6 | Angiography | 2019-09-06 | 2019-09-06 13:48:13 | 25.30722 | 0.3020664 | 0.11935978 | 0.2789155 | 4672.353 | 8.1056 | 0.10262727 | 0.409 | 0.329 | 83.0 | Yes | No | No | None | Moderate | None | Laser | Yes | Normal | No | Normal, Bilateral | 3 | 3 |
| 130 | 7005925 | 9 | Female | Left | ONH | 6x6 | Angiography | 2018-08-02 | 2018-08-02 09:15:19 | 26.99969 | 0.2754437 | 0.10201736 | 0.2530386 | 4119.877 | 9.5881 | 0.09242421 | 0.414 | 0.310 | 58.0 | Yes | No | No | None | None | Moderate | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 2 | 1 |
| 130 | 7005925 | 10 | Female | Left | ONH | 6x6 | Angiography | 2018-08-02 | 2018-08-02 09:15:53 | 26.30913 | 0.2907589 | 0.11051634 | 0.2666798 | 4356.173 | 8.7396 | 0.09770604 | 0.416 | 0.315 | 58.0 | Yes | No | No | None | None | Moderate | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 2 | 2 |
| 143 | 7131431 | 9 | Male | Left | ONH | 6x6 | Angiography | 2018-08-15 | 2018-08-15 09:41:56 | 24.21184 | 0.4091970 | 0.16900697 | 0.3747174 | 5942.869 | 1.4010 | 0.14646586 | 0.454 | 0.365 | 51.0 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 2 | 1 |
| 143 | 7131431 | 10 | Male | Left | ONH | 6x6 | Angiography | 2018-08-15 | 2018-08-15 09:43:08 | 24.20815 | 0.4025210 | 0.16627498 | 0.3689489 | 5702.549 | 1.8829 | 0.14140949 | 0.454 | 0.350 | 51.0 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 2 | 2 |
| 171 | 7258827 | 10 | Female | Left | ONH | 6x6 | Angiography | 2018-12-12 | 2018-12-12 10:06:49 | 24.84787 | 0.4359879 | 0.17546287 | 0.3953800 | 6290.749 | 2.3042 | 0.17096520 | 0.441 | 0.414 | 20.0 | Yes | No | No | None | None | Mild | Filter | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 1 |
| 171 | 7258827 | 10 | Female | Left | ONH | 6x6 | Angiography | 2018-12-12 | 2018-12-12 10:07:14 | 24.99868 | 0.4291201 | 0.17165714 | 0.3905509 | 6230.003 | 2.6333 | 0.16776221 | 0.438 | 0.411 | 20.0 | Yes | No | No | None | None | Mild | Filter | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 2 |
| 171 | 7258827 | 10 | Female | Left | ONH | 6x6 | Angiography | 2018-12-12 | 2018-12-12 10:07:36 | 24.88477 | 0.4121186 | 0.16561075 | 0.3765523 | 6076.072 | 3.5818 | 0.15629089 | 0.433 | 0.397 | 20.0 | Yes | No | No | None | None | Mild | Filter | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 3 |
| 174 | 725907 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-02-27 | 2019-02-27 09:00:30 | 29.25085 | 0.1624065 | 0.05552199 | 0.1487154 | 2475.067 | 14.2008 | 0.05396190 | 0.360 | 0.272 | 46.0 | No | No | No | None | None | Severe | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 1 |
| 174 | 725907 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-02-27 | 2019-02-27 09:00:54 | 28.14171 | 0.1786021 | 0.06346527 | 0.1635242 | 2731.644 | 12.8631 | 0.05996023 | 0.358 | 0.281 | 46.0 | No | No | No | None | None | Severe | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 2 |
| 174 | 725907 | 9 | Male | Right | ONH | 6x6 | Angiography | 2019-02-27 | 2019-02-27 09:01:18 | 27.58670 | 0.2007703 | 0.07277793 | 0.1839710 | 3072.000 | 10.9801 | 0.06768001 | 0.356 | 0.293 | 46.0 | No | No | No | None | None | Severe | Laser | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 3 |
| 183 | 7281737 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-02-08 | 2019-02-08 09:40:28 | 25.93341 | 0.2528107 | 0.09748458 | 0.2353340 | 3984.935 | 8.3944 | 0.08184594 | 0.380 | 0.301 | 72.3 | No | No | No | None | None | Moderate | None | Yes | Glaucoma | No | Glaucoma, Unilateral | 3 | 1 |
| 183 | 7281737 | 8 | Female | Left | ONH | 6x6 | Angiography | 2019-02-08 | 2019-02-08 09:40:59 | 26.26110 | 0.2393146 | 0.09112893 | 0.2231295 | 3744.725 | 9.8493 | 0.07699201 | 0.371 | 0.298 | 72.3 | No | No | No | None | None | Moderate | None | Yes | Glaucoma | No | Glaucoma, Unilateral | 3 | 2 |
| 183 | 7281737 | 9 | Female | Left | ONH | 6x6 | Angiography | 2019-02-08 | 2019-02-08 09:41:30 | 25.07638 | 0.3100368 | 0.12363701 | 0.2864197 | 4771.679 | 5.3852 | 0.10217958 | 0.403 | 0.320 | 72.3 | No | No | No | None | None | Moderate | None | Yes | Glaucoma | No | Glaucoma, Unilateral | 3 | 3 |
| 192 | 7349639 | 9 | Female | Right | ONH | 6x6 | Angiography | 2018-05-17 | 2018-05-17 07:12:52 | 27.55197 | 0.1913157 | 0.06943811 | 0.1778472 | 2944.142 | 14.1081 | 0.06679617 | 0.350 | 0.285 | 78.0 | Yes | No | No | None | None | Severe | Filter | Yes | Glaucoma | No | Glaucoma, Bilateral | 2 | 1 |
| 192 | 7349639 | 10 | Female | Right | ONH | 6x6 | Angiography | 2018-05-17 | 2018-05-17 07:13:22 | 28.78626 | 0.1813382 | 0.06299471 | 0.1685112 | 2775.510 | 15.2113 | 0.06136395 | 0.346 | 0.281 | 78.0 | Yes | No | No | None | None | Severe | Filter | Yes | Glaucoma | No | Glaucoma, Bilateral | 2 | 2 |
| 208 | 7519765 | 8 | Male | Left | ONH | 6x6 | Angiography | 2019-08-30 | 2019-08-30 15:30:14 | 27.20185 | 0.2107805 | 0.07748754 | 0.1948209 | 3237.692 | 12.4292 | 0.06973939 | 0.367 | 0.295 | 61.0 | Yes | No | No | None | None | Severe | Laser | Yes | Glaucoma | No | Glaucoma, Bilateral | 2 | 1 |
| 208 | 7519765 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-08-30 | 2019-08-30 15:32:55 | 25.39811 | 0.2800877 | 0.11027896 | 0.2571687 | 4292.763 | 8.2164 | 0.09770912 | 0.379 | 0.328 | 61.0 | Yes | No | No | None | None | Severe | Laser | Yes | Glaucoma | No | Glaucoma, Bilateral | 2 | 2 |
| 220 | 7618939 | 9 | Male | Right | ONH | 6x6 | Angiography | 2019-11-01 | 2019-11-01 10:00:51 | 24.31144 | 0.3621905 | 0.14897947 | 0.3345446 | 5352.807 | 2.8209 | 0.12682591 | 0.425 | 0.358 | 63.9 | No | No | No | None | Mild | None | None | Yes | Normal | No | Glaucoma, Unilateral | 2 | 1 |
| 220 | 7618939 | 9 | Male | Right | ONH | 6x6 | Angiography | 2019-11-01 | 2019-11-01 10:01:46 | 23.92392 | 0.3362092 | 0.14053265 | 0.3104898 | 5173.177 | 4.9099 | 0.11296480 | 0.416 | 0.344 | 63.9 | No | No | No | None | Mild | None | None | Yes | Normal | No | Glaucoma, Unilateral | 2 | 2 |
| 232 | 7685911 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-05-17 | 2019-05-17 09:36:40 | 24.43870 | 0.4260757 | 0.17434466 | 0.3894777 | 6321.509 | 1.9411 | 0.15991722 | 0.456 | 0.377 | 41.9 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 3 | 1 |
| 232 | 7685911 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-05-17 | 2019-05-17 09:37:09 | 24.15303 | 0.4292999 | 0.17774163 | 0.3924835 | 6372.214 | 1.6997 | 0.16470424 | 0.453 | 0.386 | 41.9 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 3 | 2 |
| 232 | 7685911 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-05-17 | 2019-05-17 09:37:41 | 24.34898 | 0.4349116 | 0.17861592 | 0.3974844 | 6497.414 | 1.3569 | 0.16220947 | 0.462 | 0.379 | 41.9 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 3 | 3 |
Inter-Visit Bland-Altman Plots of OCTA Variables
Assess some of the observations outside of expected limits.
| eyeid | ptid | signal_strength | female | eye_imaged | image_area | image_size | image_method | exam_date | time_stamp | v_diameter | v_area_density | v_skeleton_density | v_perimeter_index | v_complexity_index | flow_impair_zone | flux | zeiss_v_area_density | zeiss_flux | age | htn_dx | dm_dx | nro_dx | dr_dx | glc_sus_dx | glc_dx | surg_proc_glaucoma | surg_proc_catextract | glc_dx_bin | dr_dx_bin | glc_dx_bin_people | order_obs | day_one | diff_date | ind_n_day | n_exams |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 42 | 1787031 | 8 | Female | Right | ONH | 6x6 | Angiography | 2018-10-10 | 2018-10-10 10:45:55 | 25.09862 | 0.2859831 | 0.11394375 | 0.2634102 | 4329.615 | 10.3229 | 0.09907050 | 0.380 | 0.288 | 52.0 | No | No | No | None | Severe | None | None | Yes | Normal | No | Normal, Bilateral | 1 | 2018-10-10 | 0 days | 1 | 3 |
| 42 | 1787031 | 9 | Female | Right | ONH | 6x6 | Angiography | 2019-04-10 | 2019-04-10 11:47:25 | 25.44504 | 0.2934491 | 0.11532663 | 0.2682686 | 4272.115 | 9.0475 | 0.10338978 | 0.386 | 0.286 | 52.0 | No | No | No | None | Severe | None | None | Yes | Normal | No | Normal, Bilateral | 2 | 2018-10-10 | 182 days | 1 | 3 |
| 42 | 1787031 | 7 | Female | Right | ONH | 6x6 | Angiography | 2019-05-08 | 2019-05-08 11:09:31 | 25.08622 | 0.3086875 | 0.12305063 | 0.2841450 | 4433.711 | 7.5607 | 0.10895244 | 0.380 | 0.278 | 52.0 | No | No | No | None | Severe | None | None | Yes | Normal | No | Normal, Bilateral | 3 | 2018-10-10 | 210 days | 1 | 3 |
| 75 | 2360743 | 10 | Male | Left | ONH | 6x6 | Angiography | 2018-08-27 | 2018-08-27 16:11:17 | 27.78426 | 0.1930609 | 0.06948571 | 0.1805683 | 2985.314 | 13.0653 | 0.06529053 | 0.291 | 0.306 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 1 | 2018-08-27 | 0 days | 1 | 6 |
| 75 | 2360743 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-03-04 | 2019-03-04 17:12:06 | 27.87001 | 0.2087222 | 0.07489131 | 0.1947559 | 3226.429 | 12.4484 | 0.06990845 | 0.302 | 0.308 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 2 | 2018-08-27 | 189 days | 1 | 6 |
| 75 | 2360743 | 9 | Male | Left | ONH | 6x6 | Angiography | 2019-07-19 | 2019-07-19 11:00:41 | 27.48735 | 0.1704014 | 0.06199265 | 0.1601514 | 2673.694 | 14.4143 | 0.05653714 | 0.297 | 0.292 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 3 | 2018-08-27 | 326 days | 1 | 6 |
| 75 | 2360743 | 9 | Male | Left | ONH | 6x6 | Angiography | 2019-09-13 | 2019-09-13 10:16:26 | 27.08991 | 0.1727003 | 0.06375077 | 0.1614856 | 2649.738 | 13.0485 | 0.05749367 | 0.293 | 0.289 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 4 | 2018-08-27 | 382 days | 1 | 6 |
| 75 | 2360743 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-10-18 | 2019-10-18 10:00:02 | 27.46399 | 0.1728102 | 0.06292248 | 0.1616125 | 2693.818 | 13.8972 | 0.05646246 | 0.304 | 0.288 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 5 | 2018-08-27 | 417 days | 1 | 6 |
| 75 | 2360743 | 9 | Male | Left | ONH | 6x6 | Angiography | 2019-11-22 | 2019-11-22 09:52:43 | 27.16595 | 0.1915620 | 0.07051549 | 0.1791181 | 2946.412 | 12.7424 | 0.06469231 | 0.299 | 0.299 | 63.0 | No | No | No | None | None | Moderate | None | No | Glaucoma | No | Glaucoma, Bilateral | 6 | 2018-08-27 | 452 days | 1 | 6 |
| 82 | 35357 | 10 | Female | Left | ONH | 6x6 | Angiography | 2017-03-16 | 2017-03-16 15:01:12 | 24.82872 | 0.3273775 | 0.13185434 | 0.3045946 | 4978.047 | 7.0865 | 0.11088273 | 0.438 | 0.331 | 80.0 | No | No | No | None | None | Mild | None | Yes | Glaucoma | No | Glaucoma, Bilateral | 1 | 2017-03-16 | 0 days | 1 | 2 |
| 82 | 35357 | 10 | Female | Left | ONH | 6x6 | Angiography | 2019-11-06 | 2019-11-06 09:13:11 | 24.08127 | 0.3504950 | 0.14554675 | 0.3246427 | 5449.887 | 5.5967 | 0.11861236 | 0.446 | 0.338 | 80.0 | No | No | No | None | None | Mild | None | Yes | Glaucoma | No | Glaucoma, Bilateral | 2 | 2017-03-16 | 965 days | 1 | 2 |
| 92 | 51313 | 8 | Female | Right | ONH | 6x6 | Angiography | 2019-05-03 | 2019-05-03 14:18:00 | 27.45707 | 0.1756779 | 0.06398276 | 0.1636341 | 2803.662 | 15.9611 | 0.05454180 | 0.393 | 0.262 | 65.4 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 1 | 2019-05-03 | 0 days | 1 | 2 |
| 92 | 51313 | 10 | Female | Right | ONH | 6x6 | Angiography | 2019-10-04 | 2019-10-04 13:46:37 | 25.37820 | 0.2431212 | 0.09579924 | 0.2268217 | 3792.671 | 9.7405 | 0.07838918 | 0.377 | 0.296 | 65.4 | No | No | No | None | None | Severe | None | No | Glaucoma | No | Glaucoma, Unilateral | 2 | 2019-05-03 | 154 days | 1 | 2 |
| 220 | 7618939 | 8 | Male | Right | ONH | 6x6 | Angiography | 2019-09-27 | 2019-09-27 09:31:48 | 24.61454 | 0.3086070 | 0.12537588 | 0.2857071 | 4605.931 | 6.5831 | 0.10433904 | 0.421 | 0.330 | 63.9 | No | No | No | None | Mild | None | None | Yes | Normal | No | Glaucoma, Unilateral | 1 | 2019-09-27 | 0 days | 1 | 2 |
| 220 | 7618939 | 9 | Male | Right | ONH | 6x6 | Angiography | 2019-11-01 | 2019-11-01 10:00:51 | 24.31144 | 0.3621905 | 0.14897947 | 0.3345446 | 5352.807 | 2.8209 | 0.12682591 | 0.425 | 0.358 | 63.9 | No | No | No | None | Mild | None | None | Yes | Normal | No | Glaucoma, Unilateral | 2 | 2019-09-27 | 35 days | 1 | 2 |
| 232 | 7685911 | 10 | Male | Left | ONH | 6x6 | Angiography | 2019-05-17 | 2019-05-17 09:36:40 | 24.43870 | 0.4260757 | 0.17434466 | 0.3894777 | 6321.509 | 1.9411 | 0.15991722 | 0.456 | 0.377 | 41.9 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 1 | 2019-05-17 | 0 days | 1 | 2 |
| 232 | 7685911 | 7 | Male | Left | ONH | 6x6 | Angiography | 2019-10-25 | 2019-10-25 09:03:28 | 24.78055 | 0.3231436 | 0.13040208 | 0.2996570 | 4879.827 | 7.5546 | 0.11223840 | 0.438 | 0.328 | 41.9 | No | No | No | None | Mild | None | None | No | Normal | No | Normal, Bilateral | 2 | 2019-05-17 | 161 days | 1 | 2 |
Reliability of OCTA Variables
Calculate the within-subject standard deviation \((S_w)\), the within-subject coefficient of repeatability \((CR_w)\), and the within-subject coefficient of variation \((CV_w)\) for a given measurement variable \(x\).
Table 2 shows Reliability estimates of vessel density measurements.
This table was modeled after Table 2 in Venugopal (2018).2
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 180 | 24.921 | 0.240 | (0.228, 0.253) | 0.665 | (0.631, 0.700) | 0.963 | (0.913, 1.013) |
| Vessel Area Density | 180 | 0.362 | 0.014 | (0.014, 0.014) | 0.038 | (0.038, 0.039) | 3.832 | (3.820, 3.843) |
| Vessel Area Density, Zeiss | 180 | 0.429 | 0.006 | (0.006, 0.006) | 0.016 | (0.016, 0.016) | 1.369 | (1.368, 1.371) |
| Vessel Skeleton Density (units?) | 180 | 0.146 | 0.006 | (0.006, 0.006) | 0.017 | (0.017, 0.017) | 4.215 | (4.210, 4.221) |
| Vessel Perimeter Index (units?) | 180 | 0.331 | 0.012 | (0.012, 0.012) | 0.034 | (0.034, 0.034) | 3.699 | (3.689, 3.709) |
| Vessel Complexity Index (units?) | 180 | 5379.302 | 200.808 | (-7047.568, 7449.184) | 556.611 | (-19534.863, 20648.084) | 3.733 | (-131.013, 138.479) |
| Flow Impairment Zone (units?) | 180 | 5.037 | 0.832 | (0.615, 1.050) | 2.307 | (1.704, 2.910) | 16.524 | (12.203, 20.844) |
| Flux | 180 | 0.130 | 0.006 | (0.006, 0.006) | 0.017 | (0.017, 0.017) | 4.673 | (4.668, 4.679) |
| Flux, Zeiss | 180 | 0.360 | 0.007 | (0.007, 0.007) | 0.018 | (0.018, 0.018) | 1.847 | (1.844, 1.849) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 202 | 26.249 | 0.409 | (0.368, 0.449) | 1.133 | (1.020, 1.246) | 1.557 | (1.402, 1.712) |
| Vessel Area Density | 202 | 0.278 | 0.024 | (0.024, 0.025) | 0.068 | (0.067, 0.068) | 8.783 | (8.684, 8.883) |
| Vessel Area Density, Zeiss | 202 | 0.397 | 0.007 | (0.007, 0.007) | 0.019 | (0.019, 0.019) | 1.767 | (1.765, 1.770) |
| Vessel Skeleton Density (units?) | 202 | 0.108 | 0.011 | (0.011, 0.011) | 0.030 | (0.029, 0.030) | 9.857 | (9.809, 9.904) |
| Vessel Perimeter Index (units?) | 202 | 0.256 | 0.022 | (0.022, 0.022) | 0.061 | (0.061, 0.062) | 8.657 | (8.568, 8.746) |
| Vessel Complexity Index (units?) | 202 | 4213.362 | 360.577 | (-59387.279, 60108.434) | 999.470 | (-164613.140, 166612.079) | 8.558 | (-1409.499, 1426.614) |
| Flow Impairment Zone (units?) | 202 | 9.250 | 1.462 | (0.777, 2.148) | 4.053 | (2.153, 5.953) | 15.806 | (8.396, 23.216) |
| Flux | 202 | 0.096 | 0.010 | (0.010, 0.010) | 0.027 | (0.027, 0.027) | 10.108 | (10.060, 10.156) |
| Flux, Zeiss | 202 | 0.320 | 0.007 | (0.007, 0.007) | 0.019 | (0.019, 0.019) | 2.119 | (2.116, 2.122) |
Restrict to repeat measurements within a given window of time to minimize differences due to real changes in psychopathology.
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 151 | 24.877 | 0.341 | (0.317, 0.365) | 0.946 | (0.880, 1.012) | 1.372 | (1.276, 1.468) |
| Vessel Area Density | 151 | 0.361 | 0.024 | (0.024, 0.024) | 0.067 | (0.067, 0.068) | 6.724 | (6.681, 6.767) |
| Vessel Area Density, Zeiss | 151 | 0.430 | 0.009 | (0.009, 0.009) | 0.026 | (0.026, 0.026) | 2.166 | (2.162, 2.170) |
| Vessel Skeleton Density (units?) | 151 | 0.146 | 0.011 | (0.011, 0.011) | 0.029 | (0.029, 0.030) | 7.289 | (7.269, 7.308) |
| Vessel Perimeter Index (units?) | 151 | 0.331 | 0.021 | (0.021, 0.021) | 0.058 | (0.058, 0.058) | 6.307 | (6.272, 6.342) |
| Vessel Complexity Index (units?) | 151 | 5357.350 | 333.268 | (-30444.472, 31111.007) | 923.771 | (-84387.771, 86235.313) | 6.221 | (-568.275, 580.716) |
| Flow Impairment Zone (units?) | 151 | 5.136 | 1.410 | (0.884, 1.936) | 3.909 | (2.451, 5.367) | 27.460 | (17.217, 37.703) |
| Flux | 151 | 0.129 | 0.011 | (0.011, 0.011) | 0.031 | (0.031, 0.031) | 8.697 | (8.671, 8.722) |
| Flux, Zeiss | 151 | 0.358 | 0.012 | (0.012, 0.012) | 0.032 | (0.032, 0.032) | 3.259 | (3.250, 3.269) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 85 | 24.852 | 0.371 | (0.329, 0.412) | 1.027 | (0.911, 1.143) | 1.491 | (1.322, 1.660) |
| Vessel Area Density | 85 | 0.361 | 0.022 | (0.022, 0.022) | 0.062 | (0.061, 0.062) | 6.155 | (6.102, 6.208) |
| Vessel Area Density, Zeiss | 85 | 0.428 | 0.008 | (0.008, 0.008) | 0.023 | (0.023, 0.023) | 1.961 | (1.957, 1.966) |
| Vessel Skeleton Density (units?) | 85 | 0.146 | 0.010 | (0.010, 0.010) | 0.028 | (0.028, 0.028) | 6.871 | (6.846, 6.895) |
| Vessel Perimeter Index (units?) | 85 | 0.331 | 0.020 | (0.020, 0.020) | 0.055 | (0.055, 0.056) | 6.016 | (5.971, 6.061) |
| Vessel Complexity Index (units?) | 85 | 5337.511 | 311.185 | (-37255.264, 37877.634) | 862.561 | (-103266.323, 104991.445) | 5.830 | (-697.989, 709.650) |
| Flow Impairment Zone (units?) | 85 | 5.070 | 1.357 | (0.683, 2.030) | 3.760 | (1.894, 5.626) | 26.758 | (13.478, 40.038) |
| Flux | 85 | 0.129 | 0.010 | (0.010, 0.010) | 0.027 | (0.027, 0.027) | 7.568 | (7.537, 7.598) |
| Flux, Zeiss | 85 | 0.358 | 0.010 | (0.010, 0.010) | 0.029 | (0.029, 0.029) | 2.900 | (2.888, 2.912) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 42 | 24.699 | 0.407 | (0.342, 0.471) | 1.127 | (0.948, 1.306) | 1.647 | (1.385, 1.908) |
| Vessel Area Density | 42 | 0.365 | 0.029 | (0.028, 0.029) | 0.079 | (0.078, 0.080) | 7.822 | (7.725, 7.918) |
| Vessel Area Density, Zeiss | 42 | 0.431 | 0.009 | (0.009, 0.009) | 0.024 | (0.024, 0.024) | 2.040 | (2.034, 2.046) |
| Vessel Skeleton Density (units?) | 42 | 0.148 | 0.013 | (0.013, 0.013) | 0.036 | (0.035, 0.036) | 8.690 | (8.647, 8.734) |
| Vessel Perimeter Index (units?) | 42 | 0.335 | 0.026 | (0.025, 0.026) | 0.071 | (0.070, 0.072) | 7.627 | (7.545, 7.708) |
| Vessel Complexity Index (units?) | 42 | 5436.781 | 390.390 | (-69753.718, 70534.497) | 1082.105 | (-193347.441, 195511.651) | 7.181 | (-1282.997, 1297.358) |
| Flow Impairment Zone (units?) | 42 | 4.602 | 1.665 | (0.418, 2.911) | 4.614 | (1.159, 8.070) | 36.175 | (9.084, 63.267) |
| Flux | 42 | 0.130 | 0.013 | (0.013, 0.013) | 0.035 | (0.035, 0.035) | 9.809 | (9.752, 9.866) |
| Flux, Zeiss | 42 | 0.357 | 0.014 | (0.013, 0.014) | 0.038 | (0.037, 0.038) | 3.790 | (3.767, 3.812) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 225 | 26.456 | 0.596 | (0.532, 0.660) | 1.652 | (1.475, 1.829) | 2.253 | (2.012, 2.495) |
| Vessel Area Density | 225 | 0.268 | 0.031 | (0.031, 0.032) | 0.087 | (0.086, 0.087) | 11.674 | (11.569, 11.779) |
| Vessel Area Density, Zeiss | 225 | 0.392 | 0.009 | (0.009, 0.009) | 0.024 | (0.024, 0.024) | 2.192 | (2.189, 2.194) |
| Vessel Skeleton Density (units?) | 225 | 0.104 | 0.014 | (0.013, 0.014) | 0.037 | (0.037, 0.038) | 13.047 | (12.998, 13.097) |
| Vessel Perimeter Index (units?) | 225 | 0.246 | 0.028 | (0.028, 0.029) | 0.079 | (0.078, 0.079) | 11.535 | (11.442, 11.629) |
| Vessel Complexity Index (units?) | 225 | 4056.458 | 451.493 | (-56816.268, 57719.254) | 1251.474 | (-157486.660, 159989.608) | 11.130 | (-1400.637, 1422.898) |
| Flow Impairment Zone (units?) | 225 | 9.695 | 1.976 | (1.205, 2.747) | 5.476 | (3.339, 7.613) | 20.378 | (12.426, 28.330) |
| Flux | 225 | 0.093 | 0.013 | (0.013, 0.013) | 0.036 | (0.036, 0.036) | 14.001 | (13.947, 14.055) |
| Flux, Zeiss | 225 | 0.317 | 0.012 | (0.012, 0.012) | 0.032 | (0.032, 0.032) | 3.645 | (3.639, 3.651) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 161 | 26.627 | 0.620 | (0.546, 0.694) | 1.719 | (1.514, 1.923) | 2.329 | (2.051, 2.606) |
| Vessel Area Density | 161 | 0.260 | 0.032 | (0.032, 0.032) | 0.089 | (0.088, 0.090) | 12.291 | (12.155, 12.426) |
| Vessel Area Density, Zeiss | 161 | 0.390 | 0.009 | (0.009, 0.009) | 0.025 | (0.025, 0.025) | 2.315 | (2.312, 2.319) |
| Vessel Skeleton Density (units?) | 161 | 0.100 | 0.014 | (0.014, 0.014) | 0.038 | (0.038, 0.038) | 13.783 | (13.718, 13.848) |
| Vessel Perimeter Index (units?) | 161 | 0.239 | 0.029 | (0.029, 0.029) | 0.081 | (0.080, 0.082) | 12.169 | (12.047, 12.291) |
| Vessel Complexity Index (units?) | 161 | 3939.684 | 461.849 | (-72837.153, 73760.852) | 1280.181 | (-201894.289, 204454.651) | 11.723 | (-1848.807, 1872.253) |
| Flow Impairment Zone (units?) | 161 | 10.117 | 2.037 | (1.076, 2.998) | 5.646 | (2.982, 8.311) | 20.135 | (10.634, 29.636) |
| Flux | 161 | 0.090 | 0.013 | (0.013, 0.013) | 0.036 | (0.036, 0.037) | 14.641 | (14.571, 14.710) |
| Flux, Zeiss | 161 | 0.314 | 0.011 | (0.011, 0.011) | 0.031 | (0.031, 0.031) | 3.586 | (3.579, 3.593) |
| OCTA Variable | n_measure | µ | Sw | Sw 95% CL | CRw | CRw 95% CL | CVw | CVw 95% CL |
|---|---|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 115 | 26.862 | 0.647 | (0.546, 0.747) | 1.792 | (1.515, 2.070) | 2.407 | (2.034, 2.780) |
| Vessel Area Density | 115 | 0.255 | 0.032 | (0.031, 0.032) | 0.088 | (0.086, 0.089) | 12.398 | (12.233, 12.563) |
| Vessel Area Density, Zeiss | 115 | 0.389 | 0.010 | (0.010, 0.010) | 0.027 | (0.027, 0.027) | 2.473 | (2.468, 2.477) |
| Vessel Skeleton Density (units?) | 115 | 0.098 | 0.014 | (0.014, 0.014) | 0.038 | (0.037, 0.038) | 13.927 | (13.848, 14.006) |
| Vessel Perimeter Index (units?) | 115 | 0.235 | 0.029 | (0.029, 0.029) | 0.080 | (0.079, 0.081) | 12.312 | (12.163, 12.462) |
| Vessel Complexity Index (units?) | 115 | 3855.582 | 460.356 | (-91384.759, 92305.471) | 1276.041 | (-253305.629, 255857.711) | 11.940 | (-2370.194, 2394.074) |
| Flow Impairment Zone (units?) | 115 | 10.446 | 2.149 | (0.887, 3.410) | 5.956 | (2.459, 9.453) | 20.570 | (8.492, 32.647) |
| Flux | 115 | 0.089 | 0.013 | (0.013, 0.013) | 0.036 | (0.036, 0.036) | 14.718 | (14.634, 14.802) |
| Flux, Zeiss | 115 | 0.311 | 0.011 | (0.011, 0.011) | 0.031 | (0.031, 0.031) | 3.605 | (3.597, 3.614) |
Explanations of reliability statistic calculations
\(\mu_w\) is the average of all measurements of one eye for a given individual. The overall mean \((\mu)\) is calculated by taking the mean of \(\mu_w\) across the dataset. The overall mean is included in the final table for reference.
\[ \mu_w = \frac{1}{M}\sum_{i=1}^{M} x_i \]
\[\text{where } M \text{ is the number of measurements per eye,}\]
Find \(S_w\) by first calculating the variance of the measurements per individual eye. The equation below is general for any number of measurements; in this study there are at least 2 measurements per eye, but sometimes more.
\[ \sigma^2_{measurement} = \frac{1}{M}\sum_{i=1}^{M} (x_i - \mu_w)^2 \]
\[ \text{where } M \text{ is the number of measurements per eye} \]
To calculate \(S_w\), average of the variance of measurements \((\sigma^2_{measurement})\) for all eyes measured, then take the square root.
\[ Sw = \sqrt{\frac{1}{N}\sum_{i=1}^{N}\sigma^2_{measurement,i}} \]
\[ \text{where } N \text{ is the number of eyes measured} \]
The \(CR_w\) provides the uncertainty of repeated measures.
\[ CRw = \sqrt2 * 1.96 * Sw \]
The \(CR_w\) can be interpreted as:
“The difference between two measurements for the same subject is expected to be less than [\(CR_w\)] for 95% of pairs of observations.”3
\[ CVw = 100 *\frac{Sw}{\mu} \]
Intraclass Correlation Coefficient (ICC) is scored using the ICCest() function from the ICC package. This function “estimates the ICC and confidence intervals using the variance components from a one-way ANOVA.”
ICCest() adjusts for repeat measurements on each participant, but not for repeat measurements on both eyes. Therefore, ICC calculations with this function will be done for data from 1 eye per participant.
This is a preliminary result, as we want to calculate the ICC after adjusting for participant and eye (left or right). This will be done later in the mixed effects regression models.
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 68 | 0.868 | (0.807, 0.913) | 2.646 | 0.059 | 0.385 |
| Vessel Area Density | 68 | 0.910 | (0.867, 0.941) | 2.646 | 0.000 | 0.002 |
| Vessel Area Density, Zeiss | 68 | 0.935 | (0.902, 0.957) | 2.646 | 0.000 | 0.000 |
| Vessel Skeleton Density (units?) | 68 | 0.914 | (0.872, 0.943) | 2.646 | 0.000 | 0.000 |
| Vessel Perimeter Index (units?) | 68 | 0.911 | (0.868, 0.942) | 2.646 | 0.000 | 0.002 |
| Vessel Complexity Index (units?) | 68 | 0.902 | (0.855, 0.936) | 2.646 | 40923.407 | 375866.654 |
| Flow Impairment Zone (units?) | 68 | 0.863 | (0.801, 0.909) | 2.646 | 0.696 | 4.389 |
| Flux | 68 | 0.914 | (0.872, 0.944) | 2.646 | 0.000 | 0.000 |
| Flux, Zeiss | 68 | 0.930 | (0.896, 0.954) | 2.646 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 81 | 0.948 | (0.924, 0.965) | 2.492 | 0.166 | 3.028 |
| Vessel Area Density | 81 | 0.905 | (0.862, 0.935) | 2.492 | 0.001 | 0.006 |
| Vessel Area Density, Zeiss | 81 | 0.972 | (0.958, 0.981) | 2.492 | 0.000 | 0.002 |
| Vessel Skeleton Density (units?) | 81 | 0.909 | (0.869, 0.939) | 2.492 | 0.000 | 0.001 |
| Vessel Perimeter Index (units?) | 81 | 0.905 | (0.863, 0.936) | 2.492 | 0.001 | 0.005 |
| Vessel Complexity Index (units?) | 81 | 0.903 | (0.860, 0.934) | 2.492 | 145259.846 | 1347930.822 |
| Flow Impairment Zone (units?) | 81 | 0.877 | (0.824, 0.917) | 2.492 | 2.314 | 16.543 |
| Flux | 81 | 0.898 | (0.854, 0.931) | 2.492 | 0.000 | 0.001 |
| Flux, Zeiss | 81 | 0.965 | (0.949, 0.977) | 2.492 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 67 | 0.738 | (0.620, 0.826) | 2.251 | 0.122 | 0.344 |
| Vessel Area Density | 67 | 0.765 | (0.656, 0.845) | 2.251 | 0.001 | 0.002 |
| Vessel Area Density, Zeiss | 67 | 0.842 | (0.763, 0.897) | 2.251 | 0.000 | 0.000 |
| Vessel Skeleton Density (units?) | 67 | 0.779 | (0.675, 0.855) | 2.251 | 0.000 | 0.000 |
| Vessel Perimeter Index (units?) | 67 | 0.786 | (0.685, 0.859) | 2.251 | 0.000 | 0.002 |
| Vessel Complexity Index (units?) | 67 | 0.772 | (0.665, 0.850) | 2.251 | 114021.925 | 385838.270 |
| Flow Impairment Zone (units?) | 67 | 0.708 | (0.580, 0.805) | 2.251 | 2.001 | 4.862 |
| Flux | 67 | 0.746 | (0.630, 0.831) | 2.251 | 0.000 | 0.000 |
| Flux, Zeiss | 67 | 0.832 | (0.749, 0.891) | 2.251 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 40 | 0.727 | (0.553, 0.843) | 2.122 | 0.138 | 0.367 |
| Vessel Area Density | 40 | 0.801 | (0.664, 0.888) | 2.122 | 0.000 | 0.002 |
| Vessel Area Density, Zeiss | 40 | 0.871 | (0.776, 0.928) | 2.122 | 0.000 | 0.000 |
| Vessel Skeleton Density (units?) | 40 | 0.803 | (0.668, 0.889) | 2.122 | 0.000 | 0.000 |
| Vessel Perimeter Index (units?) | 40 | 0.800 | (0.662, 0.887) | 2.122 | 0.000 | 0.002 |
| Vessel Complexity Index (units?) | 40 | 0.800 | (0.662, 0.887) | 2.122 | 96147.110 | 383611.238 |
| Flow Impairment Zone (units?) | 40 | 0.729 | (0.556, 0.844) | 2.122 | 1.858 | 5.002 |
| Flux | 40 | 0.800 | (0.663, 0.887) | 2.122 | 0.000 | 0.000 |
| Flux, Zeiss | 40 | 0.877 | (0.786, 0.932) | 2.122 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 19 | 0.725 | (0.455, 0.880) | 2.198 | 0.166 | 0.437 |
| Vessel Area Density | 19 | 0.674 | (0.375, 0.855) | 2.198 | 0.001 | 0.002 |
| Vessel Area Density, Zeiss | 19 | 0.807 | (0.598, 0.918) | 2.198 | 0.000 | 0.000 |
| Vessel Skeleton Density (units?) | 19 | 0.690 | (0.399, 0.863) | 2.198 | 0.000 | 0.000 |
| Vessel Perimeter Index (units?) | 19 | 0.674 | (0.374, 0.855) | 2.198 | 0.001 | 0.001 |
| Vessel Complexity Index (units?) | 19 | 0.690 | (0.399, 0.863) | 2.198 | 148183.011 | 329773.456 |
| Flow Impairment Zone (units?) | 19 | 0.637 | (0.318, 0.836) | 2.198 | 2.723 | 4.770 |
| Flux | 19 | 0.662 | (0.356, 0.849) | 2.198 | 0.000 | 0.000 |
| Flux, Zeiss | 19 | 0.699 | (0.413, 0.867) | 2.198 | 0.000 | 0.000 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 81 | 0.897 | (0.855, 0.930) | 2.77 | 0.364 | 3.180 |
| Vessel Area Density | 81 | 0.823 | (0.755, 0.877) | 2.77 | 0.001 | 0.005 |
| Vessel Area Density, Zeiss | 81 | 0.959 | (0.940, 0.972) | 2.77 | 0.000 | 0.002 |
| Vessel Skeleton Density (units?) | 81 | 0.834 | (0.769, 0.885) | 2.77 | 0.000 | 0.001 |
| Vessel Perimeter Index (units?) | 81 | 0.824 | (0.756, 0.877) | 2.77 | 0.001 | 0.005 |
| Vessel Complexity Index (units?) | 81 | 0.829 | (0.762, 0.881) | 2.77 | 243669.027 | 1179265.229 |
| Flow Impairment Zone (units?) | 81 | 0.760 | (0.673, 0.831) | 2.77 | 4.352 | 13.816 |
| Flux | 81 | 0.790 | (0.711, 0.852) | 2.77 | 0.000 | 0.001 |
| Flux, Zeiss | 81 | 0.885 | (0.838, 0.921) | 2.77 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 62 | 0.894 | (0.840, 0.932) | 2.589 | 0.411 | 3.448 |
| Vessel Area Density | 62 | 0.821 | (0.738, 0.883) | 2.589 | 0.001 | 0.006 |
| Vessel Area Density, Zeiss | 62 | 0.956 | (0.932, 0.972) | 2.589 | 0.000 | 0.002 |
| Vessel Skeleton Density (units?) | 62 | 0.833 | (0.754, 0.891) | 2.589 | 0.000 | 0.001 |
| Vessel Perimeter Index (units?) | 62 | 0.823 | (0.740, 0.884) | 2.589 | 0.001 | 0.005 |
| Vessel Complexity Index (units?) | 62 | 0.827 | (0.746, 0.887) | 2.589 | 258530.328 | 1237596.013 |
| Flow Impairment Zone (units?) | 62 | 0.760 | (0.655, 0.841) | 2.589 | 4.645 | 14.744 |
| Flux | 62 | 0.785 | (0.689, 0.859) | 2.589 | 0.000 | 0.001 |
| Flux, Zeiss | 62 | 0.895 | (0.842, 0.933) | 2.589 | 0.000 | 0.001 |
| OCTA Variable | n_people | ICC | ICC 95% CL | k | varw | vara |
|---|---|---|---|---|---|---|
| Vessel Diameter (units?) | 48 | 0.897 | (0.834, 0.939) | 2.391 | 0.447 | 3.896 |
| Vessel Area Density | 48 | 0.850 | (0.761, 0.910) | 2.391 | 0.001 | 0.006 |
| Vessel Area Density, Zeiss | 48 | 0.951 | (0.920, 0.971) | 2.391 | 0.000 | 0.002 |
| Vessel Skeleton Density (units?) | 48 | 0.861 | (0.778, 0.917) | 2.391 | 0.000 | 0.001 |
| Vessel Perimeter Index (units?) | 48 | 0.851 | (0.763, 0.910) | 2.391 | 0.001 | 0.005 |
| Vessel Complexity Index (units?) | 48 | 0.851 | (0.763, 0.910) | 2.391 | 241852.820 | 1380095.308 |
| Flow Impairment Zone (units?) | 48 | 0.773 | (0.650, 0.861) | 2.391 | 4.913 | 16.772 |
| Flux | 48 | 0.821 | (0.719, 0.892) | 2.391 | 0.000 | 0.001 |
| Flux, Zeiss | 48 | 0.909 | (0.852, 0.946) | 2.391 | 0.000 | 0.001 |
\[ \text{ICC} = \frac{\text{between}}{\text{between} + \text{within}}\]
“In the output for the random effects model ‘SID’ is the estimated between-group variance, which in the ICCest output is called ‘vara’ (variance among groups). The within-group variance is ‘Residual’ in the random effects model output, while in ICCest it’s called ‘varw.’ You can see that the values for those two variances match perfectly in the two different outputs. The ICC is defined as between/(between+within). That calculation is not part of the random effects model output, but it is part of the ICCest output, along with confidence intervals for the ICC estimate. The ICC are really high for intravisit (around 97%) and a little lower for intervisit (about 94%). If we were to calculate these ICC for glaucoma and controls separately I think they would be significantly lower because of the reduced between-group variability.” - BB 9/4/2019
Do not use these tables for the final write-up.
Originally, we submitted the abstract to ARVO after calculating reliability statistics on one, randomly selected eye per person. These are kept in the analysis here just to show what we had previously shown. Now, we have calculated these statistics using both eyes (down below). So when writing the final paper, only include those.
| Overall | |
|---|---|
| n | 149 |
| Sociodemographic Variables | |
| age (mean (SD)) | 56.97 (16.10) |
| Sex = Male (%) | 72 (48.3) |
| Systemic Clinical Variables | |
| Hypertension Diagnosis = Yes (%) | 43 (28.9) |
| Diabetes Mellitus Diagnosis = Yes (%) | 17 (11.4) |
| Optic Neuropathy = Yes (%) | 1 ( 0.7) |
| Ophthalmic Clinical Variables | |
| Glaucoma Diagnosis, Binary = Glaucoma (%) | 81 (54.4) |
| Glaucoma Diagnosis Laterality, Ordinal (%) | |
| Normal, Bilateral | 60 (40.3) |
| Glaucoma, Bilateral | 71 (47.7) |
| Glaucoma, Unilateral | 18 (12.1) |
| Diabetic Retinopathy Diagnosis, Binary = Yes (%) | 4 ( 2.7) |
| Ophthalmic Surgical Variables | |
| Surgical Procedure for Cataract Extraction = Yes (%) | 29 (19.5) |
| Surgical Procedure for Glaucoma (%) | |
| None | 106 (71.1) |
| Laser | 24 (16.1) |
| Minimally Invasive Glaucoma Surgery | 1 ( 0.7) |
| Filter | 18 (12.1) |
| OCT Angiography Signal Strength | |
| signal_strength (mean (SD)) | 9.31 (0.75) |
All data was included for intra-visit repeatability statistics.
Intra-visit repeatability statistics for participants with repeated measurements on the same day:
Normal (n = 68).
Glaucoma (n = 81).
| var_name_normal | µ_normal | µ_glc | ICC_pretty_normal | ICC_pretty_cl_normal | ICC_pretty_glc | ICC_pretty_cl_glc | Sw_pretty_normal | Sw_pretty_cl_normal | Sw_pretty_glc | Sw_pretty_cl_glc | CRw_pretty_normal | CRw_pretty_cl_normal | CRw_pretty_glc | CRw_pretty_cl_glc | CVw_pretty_normal | CVw_pretty_cl_normal | CVw_pretty_glc | CVw_pretty_cl_glc |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vessel Area Density | 0.362 | 0.278 | 0.910 | (0.867, 0.941) | 0.905 | (0.862, 0.935) | 0.014 | (0.014, 0.014) | 0.024 | (0.024, 0.025) | 0.038 | (0.038, 0.039) | 0.068 | (0.067, 0.068) | 3.832 | (3.820, 3.843) | 8.783 | (8.684, 8.883) |
| Vessel Area Density, Zeiss | 0.429 | 0.397 | 0.935 | (0.902, 0.957) | 0.972 | (0.958, 0.981) | 0.006 | (0.006, 0.006) | 0.007 | (0.007, 0.007) | 0.016 | (0.016, 0.016) | 0.019 | (0.019, 0.019) | 1.369 | (1.368, 1.371) | 1.767 | (1.765, 1.770) |
| Vessel Skeleton Density (units?) | 0.146 | 0.108 | 0.914 | (0.872, 0.943) | 0.909 | (0.869, 0.939) | 0.006 | (0.006, 0.006) | 0.011 | (0.011, 0.011) | 0.017 | (0.017, 0.017) | 0.030 | (0.029, 0.030) | 4.215 | (4.210, 4.221) | 9.857 | (9.809, 9.904) |
| Flux | 0.130 | 0.096 | 0.914 | (0.872, 0.944) | 0.898 | (0.854, 0.931) | 0.006 | (0.006, 0.006) | 0.010 | (0.010, 0.010) | 0.017 | (0.017, 0.017) | 0.027 | (0.027, 0.027) | 4.673 | (4.668, 4.679) | 10.108 | (10.060, 10.156) |
| Flux, Zeiss | 0.360 | 0.320 | 0.930 | (0.896, 0.954) | 0.965 | (0.949, 0.977) | 0.007 | (0.007, 0.007) | 0.007 | (0.007, 0.007) | 0.018 | (0.018, 0.018) | 0.019 | (0.019, 0.019) | 1.847 | (1.844, 1.849) | 2.119 | (2.116, 2.122) |
Data was restricted to 1 year for inter-visits that occurred on different days. This was to avoid changes in eyes over a long amount of time.
Inter-visit reproducibility statistics for participants with repeated measurements within a 1 year window
Normal (n = 40).
Glaucoma (n = 62).
| var_name_normal | µ_normal | µ_glc | ICC_pretty_normal | ICC_pretty_cl_normal | ICC_pretty_glc | ICC_pretty_cl_glc | Sw_pretty_normal | Sw_pretty_cl_normal | Sw_pretty_glc | Sw_pretty_cl_glc | CRw_pretty_normal | CRw_pretty_cl_normal | CRw_pretty_glc | CRw_pretty_cl_glc | CVw_pretty_normal | CVw_pretty_cl_normal | CVw_pretty_glc | CVw_pretty_cl_glc |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vessel Area Density | 0.361 | 0.260 | 0.801 | (0.664, 0.888) | 0.821 | (0.738, 0.883) | 0.022 | (0.022, 0.022) | 0.032 | (0.032, 0.032) | 0.062 | (0.061, 0.062) | 0.089 | (0.088, 0.090) | 6.155 | (6.102, 6.208) | 12.291 | (12.155, 12.426) |
| Vessel Area Density, Zeiss | 0.428 | 0.390 | 0.871 | (0.776, 0.928) | 0.956 | (0.932, 0.972) | 0.008 | (0.008, 0.008) | 0.009 | (0.009, 0.009) | 0.023 | (0.023, 0.023) | 0.025 | (0.025, 0.025) | 1.961 | (1.957, 1.966) | 2.315 | (2.312, 2.319) |
| Vessel Skeleton Density (units?) | 0.146 | 0.100 | 0.803 | (0.668, 0.889) | 0.833 | (0.754, 0.891) | 0.010 | (0.010, 0.010) | 0.014 | (0.014, 0.014) | 0.028 | (0.028, 0.028) | 0.038 | (0.038, 0.038) | 6.871 | (6.846, 6.895) | 13.783 | (13.718, 13.848) |
| Flux | 0.129 | 0.090 | 0.800 | (0.663, 0.887) | 0.785 | (0.689, 0.859) | 0.010 | (0.010, 0.010) | 0.013 | (0.013, 0.013) | 0.027 | (0.027, 0.027) | 0.036 | (0.036, 0.037) | 7.568 | (7.537, 7.598) | 14.641 | (14.571, 14.710) |
| Flux, Zeiss | 0.358 | 0.314 | 0.877 | (0.786, 0.932) | 0.895 | (0.842, 0.933) | 0.010 | (0.010, 0.010) | 0.011 | (0.011, 0.011) | 0.029 | (0.029, 0.029) | 0.031 | (0.031, 0.031) | 2.900 | (2.888, 2.912) | 3.586 | (3.579, 3.593) |
Mixed Effects Regression Models allow random effects for certain variables. This allows us to include multiple measurements from the same person and eye while still satisfying independence.
Here are the Bland Altman Plots for OCTA outcomes in both eyes. The variables of interest are VAD and FLUX for the current algorithm and the Zeiss algorithm. This is an interesting plot to show before explaing the mixed effects model.
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